Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
raise ReadError(str(e)) from None
tarfile.ReadError: invalid header
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
VynFi Group Audit — Enterprise 2000-entity (v5.33.2)
End-to-end synthetic group-audit bundle: 2 000 entities across North America, EMEA, and APAC, organised under a 4-level ownership graph, with full consolidated FS, intercompany eliminations, NCI rollforward, currency translation, and per-entity audit workpapers.
Refreshed on engine v5.33.2 (commit 7376c8fc) — picks up the
three v5.33 fixes that the prior v5.10 dataset didn't have:
- #162: per-entity TB writer is now framework-aware (per-line
account_typeandcategoryresolved viaFrameworkAccounts::classify_account_typefor the entity's framework). - #164: consolidated FS aggregator inherits the same
framework-aware classification via the new
AggregatedAccount.account_typefield. - #163:
balance/opening_balances.jsonnow persists on every shard.
Plus every SOTA generator that landed between v5.10 and v5.33.2 (SOTA-1…12 + 8.1/11.1, all the v5.30 Tier-A/B work, v5.31 streaming aggregate, v5.32 calibration scaffolding).
All data is synthetic. No client names, no real corpus content.
Ownership structure
ACME_HQ (US, flagship)
├── ACME_EUR (DE, flagship, 100%)
│ ├── 25× ACME_EU_SIG (EU, 55-100%)
│ └── 350× ACME_EU (EU, 55-100%)
├── ACME_UK (GB, significant, 100%)
├── ACME_JP (JP, significant, 85%)
├── 50× ACME_NA_SIG (NA, 65-100%)
├── 700× ACME_NA (NA, 55-100%)
├── 200× ACME_AS (APAC, 51-100%)
├── 471× ACME_SMALL (BR/AR/ZA/AU, 50-100%)
└── 200× ACME_JV (BR/AR/ZA, 20-49%, equity-method)
= 1 + 3 + 25 + 350 + 50 + 700 + 200 + 471 + 200 = 2000 entities.
Period: 2024 Q1 (Jan-Mar), quarterly close. Presentation currency USD.
What's in the box
enterprise_2000_v533_2.tar.zst (1.24 GB, ~20 GB extracted) — full
group archive:
enterprise_2000_v533_2/
├── manifest.json # group manifest with all 2000 entities
├── shard_summary.json # per-shard entity counts + IC JE counts
├── entities/<2000 dirs>/ # per-entity JEs, TBs, openings, FS, etc.
├── consolidated/ # group-level
│ ├── consolidated_financial_statements.json
│ ├── consolidation_schedule.json
│ ├── nci_rollforward.json # 200 equity-method + minority interests
│ ├── cta_rollforward.json # FX translation worksheet
│ ├── equity_method_investments.json # 200 equity-method entities
│ ├── translation_worksheet.json
│ ├── notes_to_consolidated_fs.json
│ ├── je_network.csv # 1,589,934 consolidated JE-line edges
│ └── je_network.parquet
└── ic_eliminations/
└── ic_matching_coverage.json
Key statistics
- 2 000 entities, 2 154 intercompany relationships, 4 shards
- 1 800 entities summed (Parent + Full method); 200 deferred for equity-method overlay
- 9 118 intercompany journal entries
- 115 309 trial-balance lines aggregated, 604 unique GL accounts
- 1 589 934 consolidated JE-line edges in
je_network.parquet - 2 000 / 2 000
balance/opening_balances.jsonfiles persisted (was 0 / 2 000 in the v5.10 dataset — closes #163) - Consolidated A vs L+E+NCI gap: 3.09 % (single-period; equity-method deferred entities contribute by design)
- IC matching coverage: 0.9159 (gap from IC relationships involving the 200 equity-method-deferred entities, expected by design)
- Engine: v5.33.2 commit
7376c8fc - Generation walltime: ~1 min 44 s on a 30-core / 222 GB Xeon 8358 (down from the v5.10 multi-hour run via the v5.31 streaming- aggregate refactor)
Engine configuration
The full config is committed at
docs/baselines/2026-05-28-v5.33.2-enterprise-2000/enterprise_2000.yaml
in the engine repo. Pillar Two, CbC report, transfer-pricing
master file, KAMs, group opinion all enabled.
Caveats
- Single period. This is one quarter (Q1 2024). For a
multi-period chain with prior-year carry-forward see the companion
VynFi/vynfi-group-audit-3yr-mediumdataset (3 entities × 3 years). - NCI in
nci_rollforward.json, not BS line items. The v5.33.1 classifier's3500-3599NCI carve-out is a US-style convention; this group uses generated codes that don't hit that range. The controlling-vs-minority split lives in the rollforward file. - 3.09 % consolidated BS residual comes from the 200
equity-method entities being held out of the pre-elim sum but
still contributing to the equity-method-investment line on the
parent's BS. The NCI / equity-method overlay applied by
apply_nci_and_equity_methodpartially closes this but not all the way to 0. The per-entity TBs are individually balanced (is_balanced: true). - Sign convention between
closing_balance(debit-normal in TBs) andopening_balances::balances(natural-side) — same as documented on the 3-year medium dataset card.
How to use
pip install huggingface_hub
hf download VynFi/vynfi-group-audit-enterprise-2000 --repo-type dataset --local-dir ./e2k
tar -I zstd -xf ./e2k/enterprise_2000_v533_2.tar.zst
import pandas as pd, pyarrow.parquet as pq
edges = pq.read_table("enterprise_2000_v533_2/consolidated/je_network.parquet").to_pandas()
print(f"{len(edges):,} edges, {edges.is_fraud.mean():.4%} fraud-flagged")
Companion datasets
VynFi/vynfi-group-audit-3yr-medium— multi-period chain demo (3 entities × 3 years, v5.33.2)VynFi/vynfi-je-network-2k— 68.5 M-edge JE-line graph in parquet
License
Apache-2.0.
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